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ccmonnett

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ccmonnett
·3년 전·discuss
I would not let the author's tongue-in-cheek title discourage you from reading what is a very widely respected, well-received book :). Unless the rest of the books on your list are exclusively about motorcycle repair, in which case... still consider giving it a read.
ccmonnett
·4년 전·discuss
Especially if you have Python experience, then yes the opportunity definitely exists.

For example when I hire MLEs (which I am doing now if anyone wants to apply - supportlogic.io) I am willing to look at people who are solid Python/backend engineers and who have been "ML adjacent" or who we believe could learn the ropes of ML enough to contribute. The stronger an engineer, the more flexibility we have in ML knowledge. Some ML engineering is task-specific but a lot of it is automation, data engineering, and improving data scientist code (for which you do need ML experience

I've found it's a lot easier to teach an engineer enough DS/ML fundamentals to do ML Engineering than it is to teach a data scientist engineering skills. A lot easier...
ccmonnett
·5년 전·discuss
Assuming you looked at or seriously considered the i3 - in what way(s) was it 'not good enough' for you to stick to your favorite brand?

I'm not a big BMW person but I always liked the i3. I never got that close to buying one so I'm open to the idea there's some big catch or drawback I just didn't look closely enough to see.
ccmonnett
·5년 전·discuss
> My argument was based on the premise that votes from power users are more valuable as they better at judging the quality of the content.

As someone responsible for designing and incorporating end-user activity/feedback into ML, I have to tell you this is exceedingly unlikely.

The number of power users, especially on a large consumer app like Spotify, is dwarfed by the broad userbase (I estimate ~1% of Spotify users at most qualify as "power users").

Would I rather have power user-only feedback, or 100x the feedback? Definitely definitely 100x the feedback from all users.
ccmonnett
·5년 전·discuss
Really enjoyed this post and explanation, thank you! I work in ML and used to live on Alma St in Palo Alto so it really hit home for me :).

I also acutely enjoy the notion that a pithy critique of people who refused to simplify the problem they were solving is in itself grossly oversimplified!
ccmonnett
·5년 전·discuss
You can hire developers/engineers anywhere but it's hard(er) to find leadership and/or VC connections elsewhere.

I moved from the Bay to Raleigh, NC. If I wanted to start a B2B AI SaaS company here, I could (probably) find dozens of good engineers locally to help me do that. If I want to hire a VPE who's "been there done that" and scaled a B2B SaaS engineering org to 200+ engineers, or 1,000+ customers, or $30M+ revenue... my options are going to be significantly more limited here than SF/SV.
ccmonnett
·5년 전·discuss
I am actively interviewing someone with 4 years and someone with 20 years of experience for the same role. Our needs are quite specific but it is not our first or last hire in that area; as long as someone can fill them we are willing to be flexible about to what extent this particular hire fills our overall need and will adjust accordingly down the line.

Given the stage of my company, our hiring plan, and the fact we hire remote across the US, we absolutely could have a role with a salary range of $80k or more.